Journal
NATURE CHEMISTRY
Volume 10, Issue 9, Pages 903-909Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41557-018-0077-9
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Funding
- National Science Foundation [NSF-MCB-0954714]
- National Institutes of Health (S10 Shared Instrumentation grant) [1S10RR02664701]
- NIH Simbios Program
- Center for Molecular Analysis and Design at Stanford
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Kinases are ubiquitous enzymes involved in the regulation of critical cellular pathways. However, in silico modelling of the conformational ensembles of these enzymes is difficult due to inherent limitations and the cost of computational approaches. Recent algorithmic advances combined with homology modelling and parallel simulations have enabled researchers to address this computational sampling bottleneck. Here, we present the results of molecular dynamics studies for seven Src family kinase (SFK) members: Fyn, Lyn, Lck, Hck, Fgr, Yes and Blk. We present a sequence invariant extension to Markov state models, which allows us to quantitatively compare the structural ensembles of the seven kinases. Our findings indicate that in the absence of their regulatory partners, SFK members have similar in silico dynamics with active state populations ranging from 4 to 40% and activation timescales in the hundreds of microseconds. Furthermore, we observe several potentially druggable intermediate states, including a pocket next to the adenosine triphosphate binding site that could potentially be targeted via a smallmolecule inhibitor.
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